A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling
| Autor: | Hyunmin Koh, Jungwoon Park, Tae Wook Kim, Junyoung Jang, Changhwan Kim, Geunhaeng Lee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 020208 electrical & electronic engineering Direct sampling 02 engineering and technology Impulse (physics) law.invention Gesture recognition law 0202 electrical engineering electronic engineering information engineering Artificial intelligence Time domain Radar business Gesture |
| Zdroj: | VLSI Circuits |
| DOI: | 10.23919/vlsic.2019.8777995 |
| Popis: | This research developed time domain Artificial Intelligence radar using up to 33 GS/s direct sampling technique. It can recognize both static and dynamic hand gesture by learning the unique impulse signal that comes back from target. The algorithm gets recognition rate 93.2% and 90.5%, respectively on set of static and dynamic gesture. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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